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YOKOGAWA ADV151-E63 S2 Digital Input Module

YOKOGAWA ADV151-E63 S2 Digital Input Module


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The YOKOGAWA ADV151-E63 S2 Digital Input Module is a reliable and efficient input interface designed for capturing and transmitting digital signals from field devices to the control system.


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    plcinfo@mooreplc.com
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  • Specifications
  • Specification

    Product Image

    Brand Name

    YOKOGAWA

     

    Model Number

    ADV151-E63 S2

    Alternate Part Number

    ADV151-E63 S2

    Condition

    100% Original 

    Quality

    Brand New

    Dimensions

    3.2x10.6x12.9cm

    Description

    Digital Input Module

    Package

    Original Package 

    Lead time

    In Stock

    Shipping term

    UPS DHL TNT EMS Fedex

    Payment

    T/T (Bank Transfer)

    Service

    One-Stop Service

    Weight

    0.26kg

    Warranty

    12 Months

  • Product Details
  • Product Description: 
    The YOKOGAWA ADV151-E63 S2 Digital Input Module is a reliable and efficient input interface designed for capturing and transmitting digital signals from field devices to the control system. This module is a part of Yokogawa’s renowned control system architecture and is used in various industrial applications, including manufacturing, power plants, and process automation systems.

    It features high-speed, precise signal processing with robust isolation to ensure data integrity and system reliability. With advanced diagnostics and easy integration, the ADV151-E63 S2 helps industrial users monitor and control field devices efficiently.


    Specifications: 
    General Specifications
    Module Type: Digital Input (DI)
    Number of Input Channels: 16 channels
    Input Type: Voltage-based digital input
    Input Signal: ON/OFF (discrete input)
    Electrical Specifications
    Input Voltage Range:
    ON State: 19.2 V to 28.8 V DC
    OFF State: 0 V to 5 V DC
    Input Current: Approx. 5 mA per channel (at 24 V DC)
    Input Impedance: 4.7 kΩ per channel
    Isolation: Optically isolated between channels and system
    Performance Specifications
    Response Time: 5 ms (typical)
    Channel Status Indication: LED indicators for each channel
    Environmental Specifications
    Operating Temperature: 0°C to +55°C
    Storage Temperature: -20°C to +70°C
    Humidity: 10% to 90% RH (non-condensing)
    Vibration Resistance: 10–60 Hz, 0.075 mm amplitude
    Shock Resistance: 10 g, 11 ms duration
    Physical Specifications
    Dimensions: 3.2x10.6x12.9cm
    Weight: 0.26kg


    Frequently Asked Questions (FAQ)
    1. What is the primary purpose of the ADV151-E63 S2 module?
    The module is used to interface with digital field devices, capturing ON/OFF signals and transmitting them to the control system for monitoring or control purposes.

    2. How many input channels does this module have?
    The ADV151-E63 S2 has 16 digital input channels.

    3. What is the input voltage range for this module?
    The module supports a voltage range of 19.2 V to 28.8 V DC for the ON state and 0 V to 5 V DC for the OFF state.

  • Service and Warranty
  • NOTE:

    1. The products quoted are brand new and original with a one-year warranty

    2. Prices are ex works, for shipping calculations, Please send to my Email 

    3. Cooperation with the express delivery of DHL / Fedex / UPS / Aramex, etc,Delivery time is approximately '' 5 days ''  from our warehouse to the destination country

    4. Quotation validity: 30 days, if you need to extend, please reconfirm the price after 30 days.

    5. Payment Term: 100% advance payment by bank transfer.

    6. For the products '' in stock '' in the offer, our company can support video inspection


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News & Blogs

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  • The Future of Robotics: How AI is Revolutionizing the Industry 14/01

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  • The Role of Artificial Intelligence in Revolutionizing Manufacturing 13/01

    2025

    The Role of Artificial Intelligence in Revolutionizing Manufacturing
    AI and Its Impact on Manufacturing Artificial Intelligence (AI) is transforming the manufacturing industry, offering unprecedented opportunities to enhance efficiency, reduce costs, and improve product quality. By leveraging advanced algorithms and machine learning technologies, manufacturers are automating processes, optimizing supply chains, and ensuring a safer work environment. AI has transitioned from being a futuristic concept to becoming a critical tool in modern manufacturing. Key Applications of AI in Manufacturing AI is being implemented across manufacturing processes, providing solutions to long-standing challenges. Here are some of the key applications: Predictive Maintenance: AI-driven systems analyze real-time and historical data to predict equipment failures before they occur. This proactive approach minimizes downtime, reduces repair costs, and extends the lifespan of machinery. Robotic Process Automation (RPA): Intelligent robots equipped with AI can perform repetitive and labor-intensive tasks with precision. These robots adapt over time, learning from data to improve their efficiency and accuracy. Supply Chain Optimization: AI tools analyze vast datasets to predict supply chain disruptions, optimize inventory levels, and respond to demand fluctuations. This leads to enhanced operational efficiency and reduced costs. Quality Control and Inspection: AI-powered vision systems perform product inspections with greater speed and accuracy than human inspectors. This ensures consistent product quality while minimizing waste. Success Stories: AI in Action Several global manufacturers are reaping the rewards of AI-driven innovations. Here are some examples: General Electric (GE): GE employs AI for predictive maintenance, identifying potential equipment failures before they cause disruptions. This has significantly improved operational reliability and reduced unplanned downtime. Siemens: Siemens integrates AI into its automation systems to streamline production processes, minimize waste, and boost efficiency. Real-time data analysis helps the company stay ahead in a competitive market. BMW: BMW leverages AI-enabled robots for tasks such as welding, painting, and assembly. These robots, equipped with learning algorithms, continuously improve their performance, delivering higher quality and productivity. Overcoming Challenges in AI Adoption While the benefits of AI in manufacturing are clear, there are challenges to its widespread adoption: High Initial Costs: Implementing AI systems requires significant investment in technology, infrastructure, and employee training. This can be a barrier for small to medium-sized manufacturers. Data Security and Privacy: The increasing reliance on AI generates large volumes of sensitive data. Protecting this data is essential to safeguarding intellectual property and maintaining trust. Workforce Transformation: Automation of tasks raises concerns about job displacement. However, investing in reskilling an...
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